TY - GEN
T1 - Real time change point detection by incremental PCA in large scale sensor data
AU - Mishin, Dmitry
AU - Brantner-Magee, Kieran
AU - Czako, Ferenc
AU - Szalay, Alexander S.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/2/11
Y1 - 2014/2/11
N2 - The article describes our work with the deployment of a 600-piece temperature sensor network, data harvesting framework, and real time analysis system in a Data Center (hereinafter DC) at the Johns Hopkins University. Sensor data streams were processed by robust incremental PCA and K-means clustering algorithms to identify outlier and changepoint events. The output of the signal processing system allows us to better understand the temperature patterns of the DataCenter's inner space and make possible the online detection of unusual transient and changepoint events, thus preventing hardware breakdown, optimizing the temperature control efficiency, and monitoring hardware workloads.
AB - The article describes our work with the deployment of a 600-piece temperature sensor network, data harvesting framework, and real time analysis system in a Data Center (hereinafter DC) at the Johns Hopkins University. Sensor data streams were processed by robust incremental PCA and K-means clustering algorithms to identify outlier and changepoint events. The output of the signal processing system allows us to better understand the temperature patterns of the DataCenter's inner space and make possible the online detection of unusual transient and changepoint events, thus preventing hardware breakdown, optimizing the temperature control efficiency, and monitoring hardware workloads.
UR - http://www.scopus.com/inward/record.url?scp=84946689026&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946689026&partnerID=8YFLogxK
U2 - 10.1109/HPEC.2014.7040959
DO - 10.1109/HPEC.2014.7040959
M3 - Conference contribution
AN - SCOPUS:84946689026
T3 - 2014 IEEE High Performance Extreme Computing Conference, HPEC 2014
BT - 2014 IEEE High Performance Extreme Computing Conference, HPEC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE High Performance Extreme Computing Conference, HPEC 2014
Y2 - 9 September 2014 through 11 September 2014
ER -